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A custom-built compute cluster designed for machine learning, distributed workloads, and large-scale experimentation. The project involved networking multiple computers together, configuring Linux systems, managing shared storage, and creating a scalable platform for AI development.

Project Type

Distributed Computing Cluster

Technologies

Linux, Networking, Python, AI

Purpose

Machine Learning & Research

About The Project

I built this cluster to gain hands-on experience with distributed computing and to create a dedicated environment for AI development. Rather than relying entirely on cloud resources, I wanted to understand how large-scale computing systems are designed, deployed, and managed.

What I Built

  • • Configured multiple compute nodes running Linux
  • • Designed and deployed a local network for node communication
  • • Set up centralized storage and resource sharing
  • • Developed workflows for machine learning experiments
  • • Implemented monitoring and system management tools
  • • Created a scalable architecture for future expansion

Skills Used

Linux Administration

Managing multiple Linux systems, services, and network configurations.

Networking

Designing reliable communication between cluster nodes.

Infrastructure Design

Planning hardware, storage, scalability, and maintenance.

Machine Learning

Creating a platform capable of supporting AI training workloads.